Sweatybetty Reviews Scraper

Introduction

The Sweatybetty Reviews Scraper is a powerful Apify Actor designed to extract customer reviews from Sweaty Betty's website, a popular retailer for activewear and sportswear. It automates the collection of detailed review data, including ratings, comments, and metadata, enabling users to gather insights into product performance and customer sentiment. This tool is ideal for businesses, researchers, and analysts seeking reliable data for market analysis without manual scraping.

Features

• Comprehensive Review Extraction: Scrapes full review details such as ratings, titles, bodies, reviewer info, and timestamps from product pages.
• High Reliability: Built on Apify's robust CheerioCrawler, ensuring efficient and error-resistant data collection.
• Customizable Limits: Allows setting maximum requests to control crawl depth and avoid overloading servers.
• Structured Output: Delivers clean, JSON-formatted data ready for analysis or integration into databases.
• Fast Performance: Processes multiple URLs concurrently for quick results on large product catalogs.
• No Coding Required: User-friendly interface for easy setup and execution directly in the Apify platform.
• Scalable: Handles varying loads, from single products to extensive inventories.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	List of URLs to start crawling from, typically product pages on Sweaty Betty.	[{"url": "https://www.sweatybetty.com/shop/bottoms/leggings/winter-power-7-8-leggings-SB10249_NoriGreen_78Length.html"}]
maxItems	integer	No	Maximum number of requests the crawler can make during the run. Default is 100.	50

Example Usage

To run the actor, provide input parameters in JSON format:

{
  "startUrls": [
    {
      "url": "https://www.sweatybetty.com/shop/bottoms/leggings/winter-power-7-8-leggings-SB10249_NoriGreen_78Length.html?dwvar_SB10249_NoriGreen_78Length_color=norigreen&oldpid=SB10249_NoriGreen_78Length"
    }
  ],
  "maxItems": 100
}

Example output:

[
  {
    "reviewId": "180661987",
    "productId": "195022910090",
    "productName": "Pro Run Zip Up",
    "rating": 4,
    "title": "Ultra soft",
    "reviewBody": "The fabric is really ultra soft. I love the snug! \nBut the hole for the smart watch is placed weirdly, also hood is too big. Overall an excellent sale catch but I wouldn't pay the full price. I'm also afraid the zipper won't last long at the bottom.",
    "contentLocale": "en_GB",
    "reviewerName": "",
    "userLocation": null,
    "isRecommended": null,
    "isSyndicated": false,
    "helpfulCount": 0,
    "unhelpfulCount": 0,
    "totalFeedbackCount": 0,
    "moderationStatus": "APPROVED",
    "submissionTime": "2026-03-29T09:12:50.000+00:00",
    "lastModifiedTime": "2026-03-29T09:30:11.000+00:00",
    "contextData": {},
    "secondaryRatings": {},
    "photos": [],
    "hasClientResponse": false
  }
]

Use Cases

• Market Research: Analyze customer feedback to identify trends in product quality and preferences for activewear.
• Competitive Intelligence: Compare reviews across similar products from Sweaty Betty and competitors to inform pricing and marketing strategies.
• Price Monitoring: Track sentiment alongside pricing data to optimize sales and promotions.
• Content Aggregation: Collect reviews for content creation, such as blog posts or social media insights on fitness gear.
• Academic Research: Study consumer behavior in the sportswear industry using real-world review data.
• Business Automation: Integrate scraped data into dashboards for automated reporting on product performance.

Installation and Usage

1. Search for "Sweatybetty Reviews Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., add start URLs and set maxItems).
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The actor outputs an array of JSON objects, each representing a single review. Key fields include:

• reviewId: Unique identifier for the review.
• productId and productName: Details of the reviewed product.
• rating: Numerical rating (e.g., 1-5).
• title and reviewBody: Review content.
• reviewerName, userLocation: Anonymized reviewer info.
• submissionTime, lastModifiedTime: Timestamps.
• Additional metadata like helpfulCount, moderationStatus, and photos for comprehensive analysis.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

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Concise Description (148 words):
Unlock valuable customer insights with the Sweatybetty Reviews Scraper! This Apify Actor effortlessly extracts detailed reviews from Sweaty Betty's activewear products, including ratings, comments, and metadata. Key features: high-reliability crawling, customizable request limits, and structured JSON output. Perfect for market research, competitive analysis, and business automation. Get started today and transform raw data into actionable intelligence. Try it free on Apify!